Object Detection Metrics

Most popular metrics used to evaluate object detection algorithms.
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Supervision9,320576 months ago43December 08, 202374mitPython
We write your reusable computer vision tools. 💜
Object Detection Metrics4,693
9 months ago1mitPython
Most popular metrics used to evaluate object detection algorithms.
a year ago99apache-2.0Python
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Py Motmetrics1,2815177 months ago9December 26, 202255mitPython
:bar_chart: Benchmark multiple object trackers (MOT) in Python
9 months ago3otherPython
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
3 years ago30otherPython
CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020
Kaggle Imaterialist406
5 years agomitPython
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
Kmeans Anchor Boxes342
5 years ago13mitPython
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
Neural Pipeline314
4 years ago19February 12, 201929mitPython
Neural networks training pipeline based on PyTorch
Vovnet Detectron2300
3 years ago11otherPython
VoVNet backbone networks for detectron2, in CVPR 2020
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